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Table 3 MAR correlation coefficients (r) and p-values (p)

From: Enhancement of accuracy and efficiency for RNA secondary structure prediction by sequence segmentation and MapReduce

   Non-pseudoknotted sequences Pseudoknotted sequences
Prediction   R C O R C O
IPknot r -0.2077 -0.2141 -0.1629 0.1379 0.1572 0.0841
  p 0.1478 0.1354 0.2582 0.5303 0.4738 0.7028
pknotsRG r -0.1550 -0.0670 -0.0756 0.2030 0.1971 0.1987
  p 0.2825 0.6437 0.6018 0.3528 0.3673 0.3634
HotKnots r -0.1434 -0.0476 -0.0732 -0.0360 -0.0669 -0.0855
  p 0.3204 0.7428 0.6136 0.8705 0.7618 0.6982
NUPACK r -0.1622 -0.0137 -0.0059 -0.0532 0.0666 -0.1331
  p 0.2604 0.9249 0.9676 0.8340 0.7928 0.5986
PKNOTS r 0.4598 0.7053 0.7045 -0.0233 0.1001 0.0597
  p 0.0008 0.0000 0.0000 0.9294 0.7023 0.8199
UNAFold r -0.1449 -0.1055 -0.1311    
  p 0.3155 0.4658 0.3643    
RNAfold r -0.1056 -0.0646 -0.0538    
  p 0.4654 0.6559 0.7104    
  1. Correlation coefficients (r) between MAR and sequence lengths and corresponding p-values (p) when testing for a negative correlation.